Title :
A New Clustering Algorithm for Sensor Data Streams in an Agricultural IoT
Author :
Mingze Wu ; Yitong Wang ; Zhicheng Liao
Author_Institution :
Sch. of Comput. Sci., Fudan Univ. Shanghai, Shanghai, China
Abstract :
The Internet of Things is going to create a seamless integration of physical objects and information network. Ubiquitous sensors are deployed to support the vision of IoT. In this paper, based on an agricultural IoT platform, we propose a new clustering algorithm to cluster multi-type sensor data streams to provide future prediction for batches data of a certain farm product.
Keywords :
Internet of Things; agriculture; pattern clustering; ubiquitous computing; Internet of Things; agricultural IoT platform; batches data; clustering algorithm; farm product; information network; multitype sensor data stream clustering; physical objects; sensor data streams; ubiquitous sensors; Clustering algorithms; Educational institutions; Humidity; Production; Soil; Temperature distribution; Transportation; agricultural IoT; clustering; data stream;
Conference_Titel :
High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing (HPCC_EUC), 2013 IEEE 10th International Conference on
Conference_Location :
Zhangjiajie
DOI :
10.1109/HPCC.and.EUC.2013.342
